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6 results for “real driving emissions”
Dataset of paper "Applying Density-Based Clustering for the Analysis of Emission Events in Real Driving Emissions"
<p>This dataset includes the signal traces for the events used in the publication "Applying Density-Based Clustering for the Analysis of Emission Events in Real Driving Emissions Calibration", MDPI Future Transportation, 2024 (doi: 10.3390/futuretransp4010004).</p> <p>The data is available in a frequency of 1 Hz and the signals are arranged in separate tables. Please note, that the order of the events is not consistent for the individual signals.</p> <p>The general vehicle specifications are listed below. For further information please refer to the paper.</p> <table> <tbody> <tr> <td><strong>Characteristic</strong></td> <td><strong>Unit</strong></td> <td><strong>Value</strong></td> </tr> <tr> <td>Vehicle weight</td> <td>kg</td> <td>> 2000</td> </tr> <tr> <td>Fuel</td> <td>-</td> <td>Gasoline</td> </tr> <tr> <td>Engine type</td> <td>-</td> <td>Turbo-charged 8 cylinder</td> </tr> <tr> <td>Engine power and torque</td> <td>kW / Nm</td> <td>> 400 / > 600</td> </tr> <tr> <td>Cubic capacity</td> <td>cm^3</td> <td>~ 4000</td> </tr> <tr> <td>Transmission</td> <td>-</td> <td>Automatic transmission (AT)</td> </tr> <tr> <td>Drivetrain</td> <td>-</td> <td>All-wheel drive (AWD)</td> </tr> <tr> <td>Exhaust aftertreatment system (EATS)</td> <td>-</td> <td>Three-way catalytic converter (TWC) and gasoline particulate filter (GPF)</td> </tr> <tr> <td>Condition of EATS</td> <td>-</td> <td>Stabilized EATS (~ 70 % of tests) and aged EATS (~ 30 % tests)</td> </tr> <tr> <td>Emission target</td> <td>-</td> <td>EU6d</td> </tr> </tbody> </table> <p> </p>
Real Driving Emissions Tests Records
<p>This repository contains six recordings of Real Driving Emissions (RDE) tests conducted with two cars. Two test satisfy the RDE constraints and two violate it. We provide a Readme file with more details for each record.<br> The data was recorded with the Android app LolaDrives and recordings are encoded in the portable car data format (PCDF).</p>
Hybrid-electric passenger car energy utilization and emissions: Relationships for real-world driving conditions that account for road grade
<p>Past research showed on-road emissions patterns unique to hybrid electric vehicles (HEVs), indicating the need to account for them in emissions models as projected HEV sales increase over the coming decades. This work defines and characterizes a variable that quantifies HEV operating behavior to inform future development of new HEV emissions models based on current knowledge of conventional vehicle (CV) emissions patterns. Instantaneous hybridization factor (IHF), was quantified using on-road data collected from a 2010 Toyota Camry HEV. IHF is the ratio of electric system power to total system power and accounts for energy storage in the high voltage battery (IHF ranges from −1 to +1). Relationships between IHF and vehicle specific power (VSP), road type and road grade were examined. Negative VSP resulted in regenerative braking operation (IHF = −0.01 to −1) 90% of the time. IHF identified the VSP range where HEV operation was highly variable (VSP = −1 to 8 kW/ton) when driving at speeds below the ICE-off threshold (42 mph). VSP and IHF together account for 76–86% of the variability in HEV CO<sub>2</sub> emissions in this study. CO<sub>2</sub> model results using VSP computed with the measured real-world road grade (R<sup>2</sup> = 0.86) gave improved fits over the no-grade VSP model (R<sup>2</sup> = 0.69). This study establishes one framework for calculating the instantaneous HEV power split, confirms the need to include road grade in VSP for accurate modeling of vehicle emissions, and identified the need for significant improvements in on-board diagnostic (OBD) scantool measurement requirements for HEVs in three areas: (1) temporal resolution (sub-second to capture transient events such as ICE restarts); (2) simultaneous data logging capability for multiple controller area networks (i.e., engine and HEV parameters together); and (3) improved data precision.</p>
Dataset of paper "Real Driving Emissions—Event Detection for Efficient Emission Calibration"
<p>This dataset includes signal traces and resulting data used in the publication "Real Driving Emissions—Event Detection for Efficient Emission Calibration", MDPI Gases, 2024 (doi: 10.3390/gases4030010).</p> <p>The time trace data is available in a frequency of 1 Hz.</p> <p>The general vehicle specifications are listed below. For further information please refer to the paper.</p> <table> <tbody> <tr> <td> <p><strong>Criteria</strong></p> </td> <td> <p><strong>Value</strong></p> </td> <td> <p><strong>Criteria</strong></p> </td> <td> <p><strong>Value</strong></p> </td> </tr> <tr> <td> <p>Vehicle mass</p> </td> <td> <p>> 2000 kg</p> </td> <td> <p>Drivetrain</p> </td> <td> <p>All-wheel drive (AWD)</p> </td> </tr> <tr> <td> <p>Engine</p> </td> <td> <p>Inline 4 cylinder</p> </td> <td> <p>Gearbox</p> </td> <td> <p>Automatic Transmission (AT)</p> </td> </tr> <tr> <td> <p>Max. power</p> </td> <td> <p>> 180 kW</p> </td> <td> <p>EATS</p> </td> <td> <p>Three-way catalytic converter (TWC) and Gasoline particulate filter (GPF)</p> </td> </tr> <tr> <td> <p>Max. torque</p> </td> <td> <p>> 300 Nm</p> </td> <td> <p>Fuel</p> </td> <td> <p>Gasoline</p> </td> </tr> </tbody> </table> <p> </p> <p>Description of files:</p> <ul> <li><strong>Data_Measurement_NOx_Events_HistoryInfluence</strong>: Profile of examplary cycle in 1 Hz with time [s], speed [km/h], NOx mass flow [g/s], downstream lambda sensor voltage (U_HEGO) [V], flag fuel cut-off (b_fco) [-], distance specific NOx intensity for window layout (20 %, 50 % and 80 % History) [g/km], flag for critical window intensity (b_SE for 20 %, 50 % and 80 % history) [-]. (Refers to figure 9 and 10)</li> <li><strong>Data_NOx_RelativePositionOfEmissionIntensityPeak</strong>: Map of relative position of NOx intensity peak within the detected event based on the window layout. The position is displayed over the Window Duration [s] in rows and the History Share [%] in columns. (Refers to figure 8)</li> <li><strong>Data_PN_RelativePositionOfEmissionIntensityPeak</strong>: Map of relative position of PN intensity peak within the detected event based on the window layout. The position is displayed over the Window Duration [s] in rows and the History Share [%] in columns. (Refers to figure 7)</li> <li><strong>Data_NOx_WindowDuration_NumberEvents_AverageDuration_20percHistory</strong>: Overview of statistics for number of detected events in an examplary cycle and average duration of these events for different window durations and a window layout that considers 20 % history for NOx emissions. (Refers to figure 6)</li> <li><strong>Data_PN_WindowDuration_NumberEvents_AverageDuration_20percHistory</strong>: Overview of statistics for number of detected events in an examplary cycle and average duration of these events for different window durations and a window layout that considers 20 % history for PN emissions. (Refers to figure 5)</li> <li><strong>Data_Threshold_Statistics_NOx</strong>: Data for statistical evaluation of the threshold impact for event detection for the NOx emissions. The data are binned at a step size of 0.0001 g/km from 0 to 0.06 g/km (Threshold). For these bins, the detectable share of samples (relative) is listed for only urban samples, rural samples, motorway samples and total number of samples. (Refers to figure 4)</li> <li><strong>Data_Threshold_Window_Speed_Distance_Intensity_NOx</strong>: Data for threshold analysis. Contains the information of the analysis windows for each measurement sample that show a distance of > 0.002 km. For each window, the average window speed [km/h], the travelled window distance [km] the distance specific NOx emissions [g/km] and the integrated NOx emissions within this window [g] are displayed. (Refers to figure 3)</li> <li><strong>Overview_FinalEvent_Duration</strong>: Contains a list with the number of events and the duration of the events for the final event detection results with the named threshold values</li> <li><strong>Overview_FinalEvent_Profiles</strong>: Contains a list with the explicit data of the final event set. The time based data are displayed in a 1 Hz frequency over rows. The first column names the ID of the event, then the time in the cycle [s], the vehicle speed [km/h], the flag fuel cut-off (b_fco) [-], the downstream lambda sensor voltage (U_HEGO) [V], the Lambda value [-] and the NOx mass flow [g/s] are displayed.</li> </ul>
Hybrid-electric passenger car energy utilization and emissions: Relationships for real-world driving conditions that account for road grade
Open the record for dataset details and reuse information.
Exhaust emissions from a gasoline vehicle under real-world driving conditions
<p>Exhaust emissions from a gasoline vehicle under real-world driving conditions</p>
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